Evidence map›Paper›PMID 26060384›Full record

ArticleThe International journal of angiology : official publication of the International College of Angiology, Inc2015

Blood Leukocyte Count on Admission Predicts Cardiovascular Events in Patients with Acute Non-ST Elevation Myocardial Infarction.

Surya Dharma, Rosmarini Hapsari, Bambang B Siswanto, Arnoud van der Laarse, J Wouter Jukema

Open access · greenAbstract read
In one paragraph

Article in The International journal of angiology : official publication of the International College of Angiology, Inc, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Surya DharmaDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia.
Rosmarini HapsariDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia.
Bambang B SiswantoDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia.
Arnoud van der LaarseDepartment of Cardiology and Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands.
J Wouter JukemaDepartment of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.
University of Indonesia · IDLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to test the hypothesis that blood leukocyte count adds prognostic information in patients with acute non-ST-elevation myocardial infarction (non-STEMI). A total of 585 patients with acute non-STEMI (thrombolysis in myocardial infarction risk score ≥ 3) were enrolled in this cohort retrospective study. Blood leukocyte count was measured immediately after admission in the emergency department. The composite of death, reinfarction, urgent revascularization, and stroke during hospitalization were defined as the primary end point of the study. The mean age of the patients was 61 ± 9.6 years and most of them were male (79%). Using multivariate Cox regression analysis involving seven variables (history of smoking, hypertension, heart rate > 100 beats/minute, serum creatinine level > 1.5 mg/dL, blood leukocyte count > 11,000/µL, use of β-blocker, and use of angiotensin-converting enzyme inhibitor), leukocyte count > 11,000/µL demonstrated to be a strong predictor of the primary end point (hazard ratio = 3.028; 95% confidence interval = 1.69-5.40, p < 0.001). The high blood leukocyte count on admission is an independent predictor of cardiovascular events in patients with acute non-STEMI.

Indexed as

acute non-STEMIcardiovascular eventleukocyte countpredictor

Identifiers

PMID26060384
PMCPMC4452600
OpenAlexW2332643462

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.